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Data used for metaanalysis of the genotype-phenotype relationship in Bardet Biedl Syndrome. File "EV table 1 literature.xlsx" describes studies that were included in the metaanalysis. File "EV table 2 dataset.xlsx" contains individual patient data. Each row corresponds to a patient. If the same patient was reported in more than 1 study, their data were merged into one row. The columns are as follows: * source - a citation to the study the patient originated in * unique family - no two patients with "1" in this column belong to the same family * source case n. - A unique identifier of the patient within the study * gene - A gene carrying the principal BBSome related mutation * nucleotide change (allele 1,2) - description of the mutations in DNA individual alleles of the gene, in HGVS nomenclature * protein change (allele 1,2) - description of how the mutations in DNA change the resulting protein, in HGVS nomenclature * type of mut allele 1,2 - whether the given mutation is considered missense (MS) or large truncation (trunc) * mut/mut - combination of mutations for both alleles * additional mutations - mutations in other BBSome-related genes. Format is "gene: DNA mutation, protein mutation" * sex - "F" or "M" (where reported) * age group - age group (where reported) * age - age in years. Contains fractions, decimal values and "5 month" * RD, OBE, PD, CI, REP, REN, HEART, LIV - presense or absence of phenotypes, if reported. RD – retinal dystrophy, OBE – obesity, PD – polydactyly, CI – cognitive impairment , REP – reproductive system anomalies, REN – renal anomalies, HRT – heart disease, LIV – liver anomalies. Values are "" (not reported), "0" (no phenotype), "1" (phenotype present), "1!" conflicting reports of phenotype in multiple studies (some patients were involved in multiple studies) * note - miscellanous text, in particular contains notes on patients merged from multiple studies ==== The protocol for this meta-analysis was pre-registered with PROSPERO (CRD42018096099). PubMed and Google Scholar databases were searched in May 2018 for the following keywords: [bardet-biedl syndrome AND (genotype phenotype OR cohort)]. Other suitable records were identified by snowball searching, in particular, by retrieving relevant articles from the references of the studied full-texts. In addition, all the references included in the publicly available Euro-Wabb database (https://lovd.euro-wabb.org/home.php) were covered. Our search was limited to the literature published in English language and covered the period from the inception of each database to the 21st of May 2018.
bardet-biedl syndrome, metaanalysis
bardet-biedl syndrome, metaanalysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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